电商生态下农产品期货套期保值效果研究

Research on the Hedging Effect of Agricultural Product Futures in the E-Commerce Ecosystem

摘要: 在经济快速发展与金融市场制度完善的推动下，农产品贸易已成为金融市场的重要分支。与此同时，电子商务的快速渗透重构了农产品流通链条，不仅拓宽了贸易渠道、提升了市场透明度，也为套期保值的场景落地、工具触达与效率优化提供了新可能。学者多以OLS、VAR等模型为基础研究套期保值，聚焦农产品期货的套期保值效果，而电商背景下的套保逻辑适配、实践创新与效果升级尚未得到充分探讨。本文选取2015~2022年小麦、玉米、大豆、棉花的期货日数据，采用GARCH模型计算最优套期保值比率，并结合平台交易平均现货价格等变量，分析电商赋能下不同品类农产品的套期保值效果。结果显示：大豆的套期保值效果最佳，棉花次之，小麦与玉米最差；且电子商务的深度参与能通过提升期现货市场联动性、降低信息不对称，显著优化套保效率。

Abstract: Driven by rapid economic growth and the continuous improvement of financial market infrastructure, agricultural product trade has emerged as a significant component of the financial sector. Concurrently, the widespread adoption of e-commerce has fundamentally restructured the agricultural supply chain, not only expanding market channels and improving market transparency, but also creating new opportunities for implementing hedging scenarios, expanding tool accessibility, and optimizing efficiency. While existing scholarly research predominantly employs models such as OLS and VAR to study hedging, focusing on the hedging effectiveness of agricultural futures, the theoretical adaptation, practical innovation, and performance enhancement of hedging strategies within the context of e-commerce remain underexplored. This study utilizes daily futures data for wheat, corn, soybeans, and cotton from 2015 to 2022, applying the GARCH model to estimate optimal hedge ratios. Furthermore, it incorporates variables such as average spot prices from online trading platforms to assess the hedging performance of various agricultural commodities in an e-commerce-enabled environment. The findings indicate that soybeans exhibit the highest hedging effectiveness, followed by cotton, while wheat and corn demonstrate relatively lower hedging efficiency. Importantly, deeper integration of e-commerce contributes significantly to improved hedging outcomes by strengthening the linkage between futures and spot markets and mitigating information asymmetry.